Yes, you can do it as follows:
import pandas as pd
dates = pd.date_range(pd.datetime.today(), periods=5).tolist()
dates
OUTPUT:
[Timestamp('2019-07-04 16:21:27.028459', freq='D'),
Timestamp('2019-07-05 16:21:27.028459', freq='D'),
Timestamp('2019-07-06 16:21:27.028459', freq='D'),
Timestamp('2019-07-07 16:21:27.028459', freq='D'),
Timestamp('2019-07-08 16:21:27.028459', freq='D')]